policy gradient

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles ICML 2024 Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024 Training Diffusion Models with Reinforcement Learning ICLR 2024 Vanishing Gradients in Reinforcement Finetuning of Language Models ICLR 2024 Vertical Symbolic Regression via Deep Policy Gradient IJCAI 2024 Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm AAAI 2023 A Coupled Flow Approach to Imitation Learning ICML 2023 AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders CVPR 2023 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023 A Fair Incentive Scheme for Community Health Workers AAAI 2023 Aligning Language Models with Preferences through f-divergence Minimization ICML 2023 An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient NeurIPS 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 A policy gradient approach for optimization of smooth risk measures UAI 2023 A Risk-Sensitive Approach to Policy Optimization AAAI 2023 Assessing the Impact of Context Inference Error and Partial Observability on RL Methods for Just-In-Time Adaptive Interventions UAI 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 Augmented Proximal Policy Optimization for Safe Reinforcement Learning AAAI 2023 Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023 Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023 Convex-Concave Zero-Sum Markov Stackelberg Games NeurIPS 2023 Correcting discount-factor mismatch in on-policy policy gradient methods ICML 2023 Deep Recurrent Optimal Stopping NeurIPS 2023 Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design NeurIPS 2023 Distributionally Robust Policy Gradient for Offline Contextual Bandits AISTATS 2023